mysql中的json处理方案
作者:一户董
写在前面
需要注意,5.7以上版本才支持,但如果是生产环境需要使用的话,尽量使用8.0版本,因为8.0版本对json处理做了比较大的性能优化。你你可以使用
select version();
来查看版本信息。
本文看下MySQL的json处理。在正式开始让我们先来准备一些测试数据:
CREATE TABLE `dept` ( `id` int(11) NOT NULL, `dept` varchar(255) DEFAULT NULL, `json_value` json DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; insert into dept VALUES(1,'部门1','{"deptName": "部门1", "deptId": "1", "deptLeaderId": "3"}'); insert into dept VALUES(2,'部门2','{"deptName": "部门2", "deptId": "2", "deptLeaderId": "4"}'); insert into dept VALUES(3,'部门3','{"deptName": "部门3", "deptId": "3", "deptLeaderId": "5"}'); insert into dept VALUES(4,'部门4','{"deptName": "部门4", "deptId": "4", "deptLeaderId": "5"}'); insert into dept VALUES(5,'部门5','{"deptName": "部门5", "deptId": "5", "deptLeaderId": "5"}');
1:json字段名->’$.json属性’
通过json字段名->’$.json属性’
语法格式可以访问到json中某个key的值,以如下查询方式看下。
1.1:用在DQL查询结果中
mysql> select id,json_value->'$.deptLeaderId' from dept where id=2; +----+------------------------------+ | id | json_value->'$.deptLeaderId' | +----+------------------------------+ | 2 | "4" | +----+------------------------------+ 1 row in set (0.01 sec)
1.2:用在DQL条件中
单条件
mysql> select id from dept where json_value->'$.deptLeaderId'='4'; +----+ | id | +----+ | 2 | +----+ 1 row in set (0.01 sec)
和普通字段组合查询
mysql> select id from dept where json_value->'$.deptLeaderId'='4' and id>1; +----+ | id | +----+ | 2 | +----+ 1 row in set (0.01 sec)
json多条件
mysql> select id from dept where json_value->'$.deptLeaderId'='4' and json_value->'$.deptName' like '%部门%'; +----+ | id | +----+ | 2 | +----+ 1 row in set (0.00 sec)
1.3:用在DQL关联查询中
先准备数据:
CREATE TABLE `dept_leader` ( `id` int(11) NOT NULL, `leaderName` varchar(255) DEFAULT NULL, `json_value` json DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; insert into dept_leader VALUES(1,'leader1','{"name": "王一", "id": "1", "leaderId": "1"}'); insert into dept_leader VALUES(2,'leader2','{"name": "王二", "id": "2", "leaderId": "3"}'); insert into dept_leader VALUES(3,'leader3','{"name": "王三", "id": "3", "leaderId": "4"}'); insert into dept_leader VALUES(4,'leader4','{"name": "王四", "id": "4", "leaderId": "5"}'); insert into dept_leader VALUES(5,'leader5','{"name": "王五", "id": "5", "leaderId": "5"}');
关联查询
mysql> SELECT dept.id,dept_leader.id from dept,dept_leader WHERE dept.json_value->'$.deptLeaderId'=dept_leader.json_value->'$.id' ; +----+----+ | id | id | +----+----+ | 1 | 3 | | 2 | 4 | | 3 | 5 | | 4 | 5 | | 5 | 5 | | 6 | 5 | | 7 | 5 | | 8 | 5 | +----+----+ 8 rows in set (0.00 sec)
2:json_extract
语法格式json_extract(字段名,$.json字段名)
,用来从json字段中提取值,如下:
mysql> select id,json_extract(json_value,'$.deptName') as deptName from dept; +----+------------------------------+ | id | deptName | +----+------------------------------+ | 1 | "部门1" | ... mysql> SELECT * FROM dept WHERE JSON_EXTRACT(json_value,'$.deptName') like '%部门%'\G *************************** 1. row *************************** id: 1 dept: 部门1 json_value: {"deptId": "1", "deptName": "部门1", "deptLeaderId": "3"} *************************** 2. row *************************** id: 2 dept: 部门2 json_value: {"deptId": "2", "newData": "新增的数据", "deptName": "新增的部门1111", "deptLeaderId": "4"} ...cx
3:JSON_OBJECT()
语法格式JSON_OBJECT(k,v[,k,v])
,用来转换指定数据为json object,如下:
mysql> select json_object("name", "张三", "age", 99); +------------------------------------------+ | json_object("name", "张三", "age", 99) | +------------------------------------------+ | {"age": 99, "name": "张三"} | +------------------------------------------+ 1 row in set (0.01 sec)
4:JSON_CONTAINS()
语法JSON_CONTAINS(target, candidate[, path])
,用来判断json格式中是否包含指定子对象,其中子对象需要通过json_object()生成,如下:
mysql> select * from dept WHERE JSON_CONTAINS(json_value, JSON_OBJECT("deptName","部门5")) -> ; +----+---------+-------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------+ | 5 | 部门5 | {"deptId": "5", "deptName": "部门5", "deptLeaderId": "5"} | +----+---------+-------------------------------------------------------------+ 1 row in set (0.01 sec)
注意需要使用json_object转换为object。
添加如下数据,看一个嵌套json对象的例子:
insert into dept VALUES(6,'部门9','{"deptName": {"dept":"de","depp":"dd"}, "deptId": "5", "deptLeaderId": "5"}');
判断嵌套对象是否存在:
mysql> SELECT * from dept WHERE JSON_CONTAINS(json_value->'$.deptName',JSON_OBJECT("depp","dd")); +----+---------+--------------------------------------------------------------------------------+ | id | dept | json_value | +----+---------+--------------------------------------------------------------------------------+ | 6 | 部门9 | {"deptId": "5", "deptName": {"depp": "dd", "dept": "de"}, "deptLeaderId": "5"} | +----+---------+--------------------------------------------------------------------------------+ 1 row in set (0.00 sec) mysql> SELECT * from ( SELECT *,json_value->'$.deptName' as deptName FROM dept ) t WHERE JSON_CONTAINS(deptName,JSON_OBJECT("depp","dd")); ...
5:JSON_ARRAY()
创建json数组,如下:
mysql> select json_array("pingpong","羽毛球","篮球"); +---------------------------------------------+ | json_array("pingpong","羽毛球","篮球") | +---------------------------------------------+ | ["pingpong", "羽毛球", "篮球"] | +---------------------------------------------+ mysql> select json_array(json_object("name", "张三"), "篮球", json_object("name", "李四")); +------------------------------------------------------------------------------------+ | json_array(json_object("name", "张三"), "篮球", json_object("name", "李四")) | +------------------------------------------------------------------------------------+ | [{"name": "张三"}, "篮球", {"name": "李四"}] | +------------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
json格式化看下:
5.1:判断数组是否是否包含某子数组
准备数据:
insert into dept VALUES(7,'部门9','{"deptName": ["1","2","3"], "deptId": "5", "deptLeaderId": "5"}'); insert into dept VALUES(7,'部门9','{"deptName": ["5","6","7"], "deptId": "5", "deptLeaderId": "5"}'); mysql> SELECT * from dept WHERE JSON_CONTAINS(json_value->'$.deptName',JSON_ARRAY("1")); +----+---------+-------------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------------+ | 7 | 部门9 | {"deptId": "5", "deptName": ["1", "2", "3"], "deptLeaderId": "5"} | +----+---------+-------------------------------------------------------------------+ 1 row in set (0.05 sec)
6:JSON_TYPE()
获取类型:
mysql> SELECT json_value->'$.deptName' ,JSON_TYPE(json_value->'$.deptName') as type from dept; +------------------------------+--------+ | json_value->'$.deptName' | type | +------------------------------+--------+ | "部门1" | STRING | | "新增的部门1111" | STRING | | "部门3" | STRING | | "部门4" | STRING | | "部门5" | STRING | | {"depp": "dd", "dept": "de"} | OBJECT | | ["1", "2", "3"] | ARRAY | | ["5", "6", "7"] | ARRAY | +------------------------------+--------+
7:JSON_KEYS()
获取文档中所有的key,如下:
mysql> SELECT JSON_KEYS(json_value),json_value FROM dept where id=2\G *************************** 1. row *************************** JSON_KEYS(json_value): ["deptId", "newData", "deptName", "deptLeaderId"] json_value: {"deptId": "2", "newData": "新增的数据", "deptName": "新增的部门1111", "deptLeaderId": "4"} 1 row in set (0.01 sec)
8:JSON_SET()
更新或者是添加kv,无责插入,有则更新,语法格式JSON_SET(json_doc, path, val[, path, val] …)
,如下:
key存在时更新
mysql> select * from dept where id=1; +----+---------+-------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------+ | 1 | 部门1 | {"deptId": "1", "deptName": "部门1", "deptLeaderId": "3"} | +----+---------+-------------------------------------------------------------+ 1 row in set (0.00 sec) mysql> update dept set json_value=JSON_SET(json_value, '$.deptName', '部门1_更新后') where id=1; Query OK, 1 row affected (0.02 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from dept where id=1; +----+---------+-----------------------------------------------------------------------+ | id | dept | json_value | +----+---------+-----------------------------------------------------------------------+ | 1 | 部门1 | {"deptId": "1", "deptName": "部门1_更新后", "deptLeaderId": "3"} | +----+---------+-----------------------------------------------------------------------+ 1 row in set (0.00 sec)
key不存在时插入
mysql> select * from dept where id=1; +----+---------+-----------------------------------------------------------------------+ | id | dept | json_value | +----+---------+-----------------------------------------------------------------------+ | 1 | 部门1 | {"deptId": "1", "deptName": "部门1_更新后", "deptLeaderId": "3"} | +----+---------+-----------------------------------------------------------------------+ 1 row in set (0.00 sec) mysql> update dept set json_value=JSON_SET(json_value, '$.deptAddr', '赢创动力4楼') where id=1; Query OK, 1 row affected (0.03 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from dept where id=1; +----+---------+-------------------------------------------------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------------------------------------------------+ | 1 | 部门1 | {"deptId": "1", "deptAddr": "赢创动力4楼", "deptName": "部门1_更新后", "deptLeaderId": "3"} | +----+---------+-------------------------------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
一个key不存在,一个key存在
mysql> select * from dept where id=1; +----+---------+-------------------------------------------------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------------------------------------------------+ | 1 | 部门1 | {"deptId": "1", "deptAddr": "赢创动力4楼", "deptName": "部门1_更新后", "deptLeaderId": "3"} | +----+---------+-------------------------------------------------------------------------------------------------------+ 1 row in set (0.00 sec) mysql> update dept set json_value=JSON_SET(json_value, '$.deptAddr', '八维学院', '$.newKey', 'newKey的value') where id=1; Query OK, 1 row affected (0.04 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from dept where id=1; +----+---------+-------------------------------------------------------------------------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------------------------------------------------------------------------+ | 1 | 部门1 | {"deptId": "1", "newKey": "newKey的value", "deptAddr": "八维学院", "deptName": "部门1_更新后", "deptLeaderId": "3"} | +----+---------+-------------------------------------------------------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
9:JSON_INSERT()
语法格式JSON_INSERT(json_doc, path, val[, path, val] …)
,插入文档,当值已经存在时忽略,如下:
mysql> select * from dept where id=2; +----+---------+-------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------+ | 2 | 部门2 | {"deptId": "2", "deptName": "部门2", "deptLeaderId": "4"} | +----+---------+-------------------------------------------------------------+ 1 row in set (0.01 sec) mysql> update dept set json_value=JSON_INSERT(json_value, '$.deptId', '已存在不更新', '$.addr', '西二旗') where id=2; Query OK, 1 row affected (0.02 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from dept where id=2; +----+---------+----------------------------------------------------------------------------------+ | id | dept | json_value | +----+---------+----------------------------------------------------------------------------------+ | 2 | 部门2 | {"addr": "西二旗", "deptId": "2", "deptName": "部门2", "deptLeaderId": "4"} | +----+---------+----------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
10:JSON_REPLACE()
语法格式JSON_REPLACE(json_doc, path, val[, path, val] …)
,更新而不新增文档,如下:
mysql> update dept set json_value=JSON_REPLACE(json_value, '$.deptName', '部门2_新名称', '$.notExitsKey', '不会替换,因为不存在') where id=2; Query OK, 1 row affected (0.02 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from dept where id=2; +----+---------+--------------------------------------------------------------------------------------------+ | id | dept | json_value | +----+---------+--------------------------------------------------------------------------------------------+ | 2 | 部门2 | {"addr": "西二旗", "deptId": "2", "deptName": "部门2_新名称", "deptLeaderId": "4"} | +----+---------+--------------------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
11:JSON_REMOVE()
语法格式JSON_REMOVE(json_doc, path[, path] …)
,删除文档:
mysql> select * from dept where id=3; +----+---------+-------------------------------------------------------------+ | id | dept | json_value | +----+---------+-------------------------------------------------------------+ | 3 | 部门3 | {"deptId": "3", "deptName": "部门3", "deptLeaderId": "5"} | +----+---------+-------------------------------------------------------------+ 1 row in set (0.00 sec) mysql> update dept set json_value=JSON_REMOVE(json_value, '$.depeName', '$.deptLeaderId') where id=3; Query OK, 1 row affected (0.04 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from dept where id=3; +----+---------+----------------------------------------+ | id | dept | json_value | +----+---------+----------------------------------------+ | 3 | 部门3 | {"deptId": "3", "deptName": "部门3"} | +----+---------+----------------------------------------+ 1 row in set (0.00 sec)
12:JSON_SEARCH
语法格式JSON_SEARCH(json_doc,one_or_all,search_str [,escape_char [,path] ...])
,
获取指定文档出现的位置,如果没有则返回NULL。
12.1:官方例子
- 准备数据
mysql> SET @j = '["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}]'; Query OK, 0 rows affected (0.00 sec) mysql> select @j; +---------------------------------------------------------+ | @j | +---------------------------------------------------------+ | ["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}] | +---------------------------------------------------------+ 1 row in set (0.01 sec)
查询
mysql> SELECT JSON_SEARCH(@j, 'one', 'abc'); // 第二参数查询终止条件,设置为one,即只查询一个 +-------------------------------+ | JSON_SEARCH(@j, 'one', 'abc') | +-------------------------------+ | "$[0]" | +-------------------------------+ 1 row in set (0.01 sec) mysql> SELECT JSON_SEARCH(@j, 'all', 'abc'); // 第二个参数查询终止条件,设置为all,即查询所有匹配的 +-------------------------------+ | JSON_SEARCH(@j, 'all', 'abc') | +-------------------------------+ | ["$[0]", "$[2].x"] | +-------------------------------+ 1 row in set (0.01 sec) mysql> SELECT JSON_SEARCH(@j, 'all', 'ghi'); // 全局匹配不存在的,会返回NULL +-------------------------------+ | JSON_SEARCH(@j, 'all', 'ghi') | +-------------------------------+ | NULL | +-------------------------------+ 1 row in set (0.00 sec) mysql> SELECT JSON_SEARCH(@j, 'all', '10'); // 全局匹配10,返回具体位置的具体key +------------------------------+ | JSON_SEARCH(@j, 'all', '10') | +------------------------------+ | "$[1][0].k" | +------------------------------+ 1 row in set (0.01 sec)
指定路径搜索
mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '$'); +-----------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '$') | +-----------------------------------------+ | "$[1][0].k" | +-----------------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '$[*]'); +--------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '$[*]') | +--------------------------------------------+ | "$[1][0].k" | +--------------------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '$**.k'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '$**.k') | +---------------------------------------------+ | "$[1][0].k" | +---------------------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '$[*][0].k'); +-------------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '$[*][0].k') | +-------------------------------------------------+ | "$[1][0].k" | +-------------------------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '$[1]'); +--------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '$[1]') | +--------------------------------------------+ | "$[1][0].k" | +--------------------------------------------+ #指定搜索路径为数组中第二个元素内的第一个元素 mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '$[1][0]'); +-----------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '$[1][0]') | +-----------------------------------------------+ | "$[1][0].k" | +-----------------------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', 'abc', NULL, '$[2]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', 'abc', NULL, '$[2]') | +---------------------------------------------+ | "$[2].x" | +---------------------------------------------+
模糊匹配
mysql> SELECT JSON_SEARCH(@j, 'all', '%a%'); +-------------------------------+ | JSON_SEARCH(@j, 'all', '%a%') | +-------------------------------+ | ["$[0]", "$[2].x"] | +-------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', '%b%'); +-------------------------------+ | JSON_SEARCH(@j, 'all', '%b%') | +-------------------------------+ | ["$[0]", "$[2].x", "$[3].y"] | +-------------------------------+ # 指定搜索路径,$[0] = "abc" mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', NULL, '$[0]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', NULL, '$[0]') | +---------------------------------------------+ | "$[0]" | +---------------------------------------------+ # $[2] = {"x":"abc"} mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', NULL, '$[2]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', NULL, '$[2]') | +---------------------------------------------+ | "$[2].x" | +---------------------------------------------+ # $[1] = [{"k": "10"}, "def"] 模糊匹配无结果 mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', NULL, '$[1]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', NULL, '$[1]') | +---------------------------------------------+ | NULL | +---------------------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', '', '$[1]'); +-------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', '', '$[1]') | +-------------------------------------------+ | NULL | +-------------------------------------------+ mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', '', '$[3]'); +-------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', '', '$[3]') | +-------------------------------------------+ | "$[3].y" | +-------------------------------------------+
12.2:实际例子
在日常开发过程中如果需要使用JSON_SEARCH查询的话,需要搭配IS NOT NULL来获取符合条件的数据,如果是返回是NULL则说明不存在,反之存在,所以,对于返回的具体位置信息我们一般是使用不到的,准备数据如下:
Create Table: CREATE TABLE `user` ( `id` int(11) unsigned NOT NULL AUTO_INCREMENT, `name` varchar(64) NOT NULL COMMENT '名字', `age` int(4) unsigned NOT NULL COMMENT '年龄', `info` text COMMENT '补充信息', PRIMARY KEY (`id`), UNIQUE KEY `name` (`name`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='用户表' INSERT INTO `user` (`name`, `age`, `info`) VALUES ('suhw', '23', '{"phone":"12312123434","language":["c++","java","go"]}'); INSERT INTO `user` (`name`, `age`, `info`) VALUES ('bob', '20', '{"phone":"18912123434","language":["c++","c","go","php"]}');
查询会java和go语言的数据:
mysql> select * from user where json_search(info, 'all', 'go') is not null and json_search(info, 'all', 'java') is not null; +----+------+-----+--------------------------------------------------------+ | id | name | age | info | +----+------+-----+--------------------------------------------------------+ | 1 | suhw | 23 | {"phone":"12312123434","language":["c++","java","go"]} | +----+------+-----+--------------------------------------------------------+ 1 row in set (0.00 sec)
写在后面
参考文章列表
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